datasetGBIF <- list('Search for a species'=c(1))
# GUI for searching GBIF data
mjax <-'https://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML'
gbif_data <- sidebarLayout(position = "left",
sidebarPanel(
tags$head(
tags$script(
src = mjax,
type = 'text/javascript')
),
titlePanel("NicheToolBox"),
h3("GBIF data"),
HTML(
"<p align ='justify'>Here you can request data to the</p>"
),
a(href="http://www.gbif.org/",
target='_blank',"GBIF"),
HTML("API using the"),
a(href="http://cran.r-project.org/web/packages/spocc/vignettes/spocc_vignette.html",
target='_blank',"spocc"),
HTML("package</p>"),
br(),
textInput(inputId= "genus",
label="Enter the species genus:",
value="",
placeholder = HTML("i.e. Anolis")),
textInput(inputId= "species",
label="Enter the name of species:",
value="",
placeholder = "i.e. trinitatis"),
numericInput("occlim","Enter a occ search limit",
value = 500,min = 1,max = 10000000),
br(),
actionButton(input="search_gbif_data",
label="Search GBIF",styleclass="primary"),
busyIndicator("Loading...",wait = 0),
br(),
br(),
h3("Cleaning duplicates"),
helpText("In this section you can clean your
longitude and latitude data using a
threshold distance between points to
be considered as duplicates."),
tags$div(title="Coordinate data must be in
decimal degrees",
selectInput('xLongitudeGBIF',
'Select longitude',
names(datasetGBIF)[1])
),
tags$div(title="Coordinate data must be in decimal degrees",
selectInput('yLatitudeGBIF',
'Selct latitude', names(datasetGBIF)[1])
),
tags$div(tile="Here you can see the dimensions of your data set",
p('The data set has'),
verbatimTextOutput('nRcordsGBIF')
),
br(),
tags$div(title="distance between points to be considered duplicates (in grades)",
numericInput(inputId = "threshold_gbif",
label = "Threshold distance for duplicates (\\(\\delta\\))",
value = 0.0,min = 0,
max = 100000,step = 0.05)
),
tags$div(title="Cleans the duplicates on your dataset according to the threshold distance",
actionButton(input="clean_dup_gbif",
label="Clean duplicates",
styleclass="primary")
),
br(),
# Clean duplicates by group
h4("Clean duplicates by group"),
helpText("Sometimes you may want to clean your data on a specific location (country, continent), this option will clean you data given a grouping variable)"),
selectInput(inputId = 'groupGBIF',label = 'Select the grouping variable',choices = names(datasetGBIF)[1]),
selectInput(inputId = 'groupLevelsGBIF',label = 'Select the ids you want to clean',choices = NULL,multiple = TRUE),
br(),
actionButton(inputId = 'clean_dup_gbif_group',label = 'Clean duplicates by group',styleclass="primary"),
br(),
h4("Download your clean data"),
downloadButton(outputId="downGBIF",label="Download Data")),
mainPanel(DT::dataTableOutput("gbif_table")))
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